Please use this identifier to cite or link to this item: doi:10.22028/D291-33391
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Title: Enriching Augmented Reality with Text Data Mining: An Automated Content Management System to Develop Hybrid Media Applications
Author(s): Raso, Rocco
Werth, Dirk
Loos, Peter
Language: English
Title: Hawaii International Conference on System Sciences 2017 (HICSS-50) : Hilton Waikoloa Village, Hawaii, January 4-7, 2017
Startpage: 6172
Endpage: 6180
Publisher/Platform: AIS Electronic Library
Year of Publication: 2017
Title of the Conference: HICSS 2017
Place of the conference: Waikoloa Village, Hawaii, USA
Publikation type: Conference Paper
Abstract: Augmented Reality (AR) tools offer novel typologies of contents to generate Augmented Print (AP) systems. Compared with traditional print media, the development of AP applications requires additional efforts to identify thematic contents, which are suitable to be enhanced by AR systems. The generation of virtual contents represents a potential obstacle for developing AP applications. Motivated by the necessity to provide hybrid media applications with more efficient tools, in this paper we present a novel paradigm, which employs an automated framework to face the issue of content creation and content management. We propose a model for the automatic detection of specific textual contents in traditional print media. Using techniques from text data mining, we identify virtual contents which match the editorial contents. This aids in the process of content creation and management and, as a result, simplifies AR content delivery and shapes new perspectives for hybrid media applications.
DOI of the first publication: 10.24251/HICSS.2017.746
URL of the first publication:
Link to this record: hdl:20.500.11880/30714
ISBN: 978-0-9981331-0-2
Date of registration: 23-Feb-2021
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Peter Loos
Collections:Die Universitätsbibliographie

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